Privacy: assuring that clinical data is only shared according to patient specified preferences

Security: limiting access to data to only those who are authorized to access it

Trust: assuring that data is being shared with the person or entity with whom it is supposedly being shared

Meaningful Use: a set of usage requirements defined in three stages by ONC under which eligible professionals are paid for adopting a certified EHR. The three stages are often referred to as MU1, MU2, and MU3

International Classification of Disease (ICD): the World Health Organization’s almost universally used standard codes for diagnoses. The current version is ICD-10, but ICD-9 is used in most US institutions. The conversion date is October 1, 2014

PGP - Physician Group Practice

ACO - Accountable Care Organization

EHR - Electronic Health Record

ICD - International Classification of Disease

Lesson 3

eHealth Exchange: a set of standards, services, and policies that enable secure nationwide, Internet-based HIE using CONNECT or one of the commercial HIE products that support eHealth Exchange

eHealth Initiative (eHI): a non-profit whose members seek to improve the quality of healthcare by promoting the use of technology and information

Lesson 8

Quality Reporting Document Architecture (QRDA): an XML standard for reporting quality metrics usually in response to an HQMF query

Lesson 9

hQuery: an ONC-funded, open source effort to develop a generalized set of distributed queries across diverse EHRs for such purposes as clinical research. It is now part of the more comprehensive Query Health Project initiated by ONC

i2b2 (Informatics for Integrating Biology and the Bedside): a scalable query framework for exploration of clinical and genomic data for research to design targeted therapies for individual patients with diseases having genetic origins

PopMedNet: a technology for reporting population level data from diverse and distributed sources

Lesson 10

Markov Decision Process (MDP):a series of probability-driven decision trees where the output of each is the input to the next

Markov Models: decision trees that use recursion (events can repeat), represent time and may, optionally, have memory of past events/decisions

Discrete Event Simulation: a model in which entities have attributes and can wait in queues for resources

Agent-based models: agents represent "actors" in a process and can have a rich set of attributes that allow them to make decisions about how to communicate or interact with each other and their environment

Process mining: inferring overall processes from discrete data collected from/about events that are part of the process